北京理工大学学报(英文版)
北京理工大學學報(英文版)
북경리공대학학보(영문판)
JOURNAL BEIJING INSTITUTE OF TECHNOLOGY
2004年
2期
157-160
,共4页
temperature control%inertial navigation system (INS)%PSD control%neural control
A neural adaptive proportion sum differential (PSD) algorithm with errors prediction is researched. It is applied in inertial navigation system(INS) temperature control. The algorithm do not need the process's precise mathematical model and can adapt to the process pareters changing, and can deal with the process with nonlinearity. According to the Smith predictor, author developed a method that takes the predicted process error and error change as neural adaptive PSD algorithm's input. The method is effective to the system with long dead time. The results of compute simulation show that this system has characters of quickly reaction, low overshoot and good stability. It can meet the requirements of temperature control of INS.
